• Title/Summary/Keyword: 인공지능 자기효능감

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The Effect of a Fine Dust Environmental Education Program Using Artificial Intelligence-Based Tools on Environmental Sensitivity and Self-Effectiveness of Elementary School Students (인공지능 기반 도구를 활용한 미세먼지 환경교육 프로그램이 초등학생의 환경감수성과 자기효능감에 미치는 영향)

  • Choi, Il-hoon;So, Keumhyun
    • Journal of Korean Elementary Science Education
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    • v.41 no.3
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    • pp.468-479
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    • 2022
  • In this study, we developed an environmental education program for fine dust using artificial intelligence-based tools. We applied this program to elementary school students to investigate its effect on environmental sensitivity and self-efficacy. The study was conducted on 29 sixth-grade elementary school students. The analysis of the pre- and post-tests gave the following results. First, the fine dust environmental education program using artificial intelligence-based tools was effective in improving the environmental sensitivity of elementary school students. Second, it had a positive effect on improving the self-efficacy of elementary school students, and third, it had a positive effect on the elementary school students' perception of the environment. After applying the program, students became more interested in the environment and fine dust. Additionally, they had a sense of environmental protection practice in connection with their daily lives. As such, it is concluded that the fine dust environmental education program using artificial intelligence-based tools had a positive effect on the environmental sensitivity and self-efficacy of elementary school students.

Preservice teacher's understanding of the intention to use the artificial intelligence program 'Knock-Knock! Mathematics Expedition' in mathematics lesson: Focusing on self-efficacy, artificial intelligence anxiety, and technology acceptance model (수학 수업에서 예비교사의 인공지능 프로그램 '똑똑! 수학 탐험대' 사용 의도 이해: 자기효능감과 인공지능 불안, 기술수용모델을 중심으로)

  • Son, Taekwon
    • The Mathematical Education
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    • v.62 no.3
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    • pp.401-416
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    • 2023
  • This study systematically examined the influence of preservice teachers' self-efficacy and AI anxiety, on the intention to use AI programs 'knock-knock! mathematics expedition' in mathematics lessons based on a technology acceptance model. The research model was established with variables including self-efficacy, AI anxiety, perceived ease of use, perceived usefulness, and intention of use from 254 pre-service teachers. The structural relationships and direct and indirect effects between these variables were examined through structural equation modeling. The results indicated that self-efficacy significantly affected perceived ease of use, perceived usefulness, and intention to use. In contrast, AI anxiety did not significantly influence perceived ease of use and perceived usefulness. Perceived ease of use significantly affected perceived usefulness and intention to use and perceived usefulness significantly affected intention to use. The findings offer insights and strategies for encouraging the use of 'knock-knock! mathematics expedition' by preservice teachers in mathematics lessons.

The influence of users' satisfaction with AWE on English learning achievement through self-efficacy: using PLS-SEM (영어 자동쓰기평가(AWE) 사용만족도가 자기효능감을 매개로 학업성취감에 미치는 영향: PLS-SEM 모델 분석)

  • Joo, Meeran
    • Journal of Digital Convergence
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    • v.19 no.9
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    • pp.1-8
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    • 2021
  • The purpose of this study is to identify the influence of users' satisfaction with the Automatic Writing Evaluation(AWE) on learners' sense of learning achievement through self efficacy in English writing class. AWE is a tool that automatically provides feedback on writing outputs by AI technology. College students were asked to write essays for each topic and use AWE to get feedback on their drafts, and finally revise them referring to the feedback. A questionnaire survey was conducted for the data collection. The data was analyzed using SPSS, and smart PLS-SEM along with bootstrapping techniques, The results of the study reveal the followings: 1) the convenience and usefulness of AWE had a positive effect on the willingness to reuse it; 2) the satisfaction with AWE had a positive effect on self-efficacy; 3) self-efficacy had a positive effect on learning achievement in terms of emotional and linguistic aspects. With the development of the 4th industry and A.I. technology, it is recommended to introduce new materials or programs such as AWE in English education.

Development and Application of an Artificial Intelligence Convergence Education Program Linked to School Library Reading Activities for Middle School Students (중학생을 위한 학교도서관의 독서활동 연계 인공지능 융합교육 프로그램의 개발과 적용)

  • Yonju No;Ji Won You
    • Journal of the Korean Society for information Management
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    • v.41 no.1
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    • pp.439-463
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    • 2024
  • Recently, there has been a growing demand for school libraries to take on the role of curriculum convergence and content development. This study purposed to develop a program that integrates reading activities and artificial intelligence (AI) education in a middle school library as a platform for convergence education. The program aimed to enhance creative problem-solving skills by integrating an understanding of AI concepts and principles through reading activities related to AI topics. The program, comprising 18 sessions (6 modules), was implemented with 36 first-year students at A Middle School, Gyeonggi-do, in 2022. After implementation, a paired-sample t-test revealed significant improvements in AI learning self-efficacy and creative problem-solving skills. Participants also showed positive attitudes toward class engagement and reading activities. Implications for AI convergence education in connection with school libraries were discussed.

창업교육이 성인학습자의 창업의지와 창업행동에 미치는 영향: 자기효능감의 매개효과를 중심으로

  • Yu, So-Yeong;Yang, Yeong-Seok;Kim, Myeong-Suk
    • 한국벤처창업학회:학술대회논문집
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    • 2022.11a
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    • pp.49-52
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    • 2022
  • 4차 산업혁명시대가 도래함에 따라 자동화, 인공지능 등의 도입으로 다수의 전통적인 일자리가 소멸되거나 변동성이 커지게 되면서 일자리 공급은 감소하고 새로운 기술과 아이디어로 재고용 또는 자기 고용 기회를 찾아야 하는 사회적 수요가 커지고 있다. 이러한 시대변화에 능동적으로 대처하고, 현재의 삶의 위기를 극복하기 위하여 직업전환을 꾀하거나 자기개발을 하기 위한 성인학습자들의 창업에 대한 관심이 증대되고 있다. 이에 따라, 본 연구를 위하여 성인학습자 207명을 대상으로 설문조사를 진행하였으며, 본 연구는 창업교육이 성인학습자의 창업의지와 창업행동에 관한 연구를 자기효능감의 매개효과를 중심으로 진행하였다.

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An Analysis of differences in self-efficacy according to SW experience of learners learning AI liberal arts education (AI 기초교양에서 학습자의 SW 경험이 자기효능감에 미치는 영향)

  • Oh, Kyungsun;Jang, Eunsill
    • 한국정보교육학회:학술대회논문집
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    • 2021.08a
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    • pp.223-231
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    • 2021
  • Humanity faces the 4th industrial revolution, many countries are providing systematic and continuous SW education to foster talent with AI capabilities. On the other hand, there are high concerns that the SW gap will widen and polarize as domestic reality does not provide systematic and continuous SW education to learners. Against this background, this study started to investigate the influence of learners' SW experience on SW education. As a result of the study targeting science and engineering students, the effect of SW experience on SW education was significant. With theses results, it is expected that various discussions will be actively conducted so that systematic and continuous SW education can be provided in elementary and secondary schools.

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Effects of Agent Interaction on Driver Experience in a Semi-autonomous Driving Experience Context - With a Focus on the Effect of Self-Efficacy and Agent Embodiment - (부분자율주행 체험환경에서 에이전트 인터랙션 방식이 운전자 경험에 미치는 영향 - 자기효능감과 에이전트 체화 효과를 중심으로 -)

  • Lee, Jeongmyeong;Joo, Hyehwa;Choi, Junho
    • The Journal of the Convergence on Culture Technology
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    • v.5 no.1
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    • pp.361-369
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    • 2019
  • With the commercialization of the ADAS functions, the need for the experience of the autonomous driving system is increasing, and the role of the artificial intelligence agent is attracting attention. This study is an autonomous driving experience experiment that verifies the effect of self-efficacy and agent embodiment. Through a simulator experiment, we measured the effect of existence of self-efficacy and agent embodiment on social presence, perceived risk, and perceived ease of use. Results show that self-efficacy had a positive effect on social presence and perceived risk, and agent embodiment negatively affected perceived ease of use. Based on the results of the study, we proposed guidelines for agent design that can increase the acceptance of the semi-autonomous driving system.

A Study on the Intention to Use AI Speakers: focusing on extended technology acceptance model (인공지능(AI)스피커 사용의도에 관한 연구: 확장된 기술수용모델을 중심으로)

  • Kim, Bae Sung;Woo, Hyung Jin
    • The Journal of the Korea Contents Association
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    • v.19 no.9
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    • pp.1-10
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    • 2019
  • The purpose of this study is to investigate the influence of exogenous variables on the intention to use AI speaker. An online survey was administrated to 305 AI speaker users in order to examine the effect of the personal characteristics (self-efficacy, innovativeness, suitability, and enjoyment) and social impact (social conformity and social image) on perceived usefulness and easiness. The results indicate that (1) self-efficacy and social conformity have positively effect on perceived easiness; (2) suitability and social image have positively effect on perceived usefulness whereas innovativeness has negatively effect on perceived usefulness; (3) perceived usefulness and perceived easiness have significant effect on the intention to use AI speaker.

Development and application of software education programs to improve Underachievement

  • Kim, Jeong-Rang;Lee, Soo-Hwan
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.1
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    • pp.283-291
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    • 2021
  • In this paper, we propose the development and application of a software education program for underachievers. The software education program for underachieving students was developed in consideration of the characteristics of learner's suffering from underachievement and the educational effects of software education, and is meaningful in that it proposes a plan to improve the learning gap in distance learning. Learners can acquire digital literacy and learning skills by solving structured tasks in the form of courseware, intelligent tutoring, debugging, and artificial intelligence learning models in educational programs. Based on the effects of software education, such as enhancing logical thinking ability and problem solving ability, this program provides opportunities to solve fusion tasks to underachievers. Based on this, it is expected that it can have a positive effect on the overall academic work.

Hotel employee's perceptions of artificial intelligence concierge robots effect on switching cost, resistance, turnover intention (호텔 종업원의 인공지능 컨시어지로봇에 대한 인식이 전환비용, 저항 및 이직의도에 미치는 영향)

  • Wang, Danping;Chung, Namho
    • Journal of Service Research and Studies
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    • v.13 no.4
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    • pp.206-223
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    • 2023
  • The introduction of Smart technologies such as Artificial Intelligence(AI) systems are have a powerful impact in a variety of industry fields. Some experts predict that smart technology will completely change people's daily life and work styles, causing technological innovation, productivity improvement, and discovery and emergence of new fields. On the one hand, this vision cannot ignore negative views and concerns. Despite many social debates about employment, such as job loss and rising unemployment, there have not been many studies based on employee experience that provide a fundamental solution to the conflict between AI and employment. Therefore, this study finds out the effects and related factors of AI concierge robots for hotel employees, focusing on the hotel industry, and how employees' perceptions of AI concierge robots affect user resistance and turnover intention. This study, conducted a questionnaire survey of 322 hotel employees who had experience working with AI concierge robots in China, and used SPSS and SmartPLS statistical analysis programs to draw conclusions. We found that hotel employees' perceptions of AI concierge robots were significantly related to user resistance and turnover intention, and this association was related to employee self-efficacy, perceived organizational support, quality of AI services and new tasks. In addition, it was found that the quality of AI concierge robots directly or indirectly had the greatest influence on user resistance and turnover intention. The findings of this study provide theoretical implications for academia and practical implications for industry practitioners.